The use of advanced statistical analysis and machine learning methods in Primary Aldosteronism studies:
Gespeichert in:
| Beteilige Person: | |
|---|---|
| Format: | Hochschulschrift/Dissertation Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
München
2022
|
| Schlagwörter: | |
| Links: | https://doi.org/10.5282/edoc.30488 https://nbn-resolving.org/urn:nbn:de:bvb:19-304885 |
| Umfang: | 53 Blätter |
| DOI: | 10.5282/edoc.30488 |
Internformat
MARC
| LEADER | 00000nam a2200000zc 4500 | ||
|---|---|---|---|
| 001 | BV048483196 | ||
| 003 | DE-604 | ||
| 005 | 00000000000000.0 | ||
| 007 | t| | ||
| 008 | 220922s2022 gw m||| 00||| eng d | ||
| 015 | |a 22,O10 |2 dnb | ||
| 035 | |a (OCoLC)1346092321 | ||
| 035 | |a (DE-599)BVBBV048483196 | ||
| 040 | |a DE-604 |b ger | ||
| 041 | 0 | |a eng | |
| 044 | |a gw |c XA-DE-BY | ||
| 049 | |a DE-384 |a DE-473 |a DE-703 |a DE-1051 |a DE-824 |a DE-29 |a DE-12 |a DE-91 |a DE-19 |a DE-1049 |a DE-92 |a DE-739 |a DE-898 |a DE-355 |a DE-706 |a DE-20 |a DE-1102 |a DE-860 |a DE-2174 | ||
| 084 | |8 2\p |a 610 |2 23sdnb | ||
| 084 | |8 1\p |a 616.4 |2 23ksdnb | ||
| 100 | 1 | |a Wang, Xiao |d 1987- |e Verfasser |0 (DE-588)1267945494 |4 aut | |
| 245 | 1 | 0 | |a The use of advanced statistical analysis and machine learning methods in Primary Aldosteronism studies |c Xiao Wang |
| 264 | 1 | |a München |c 2022 | |
| 300 | |a 53 Blätter | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 502 | |b Dissertation |c München, Ludwig-Maximilians-Universität |d 2022 | ||
| 655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
| 776 | 1 | 8 | |i Erscheint auch als |n Online-Ausgabe |o urn:nbn:de:bvb:19-304885 |o 10.5282/edoc.30488 |
| 856 | 4 | 1 | |u https://doi.org/10.5282/edoc.30488 |x Verlag |z kostenfrei |3 Volltext |
| 856 | 4 | 1 | |u https://nbn-resolving.org/urn:nbn:de:bvb:19-304885 |x Resolving-System |z kostenfrei |3 Volltext |
| 912 | |a ebook | ||
| 883 | 0 | |8 1\p |a emakn |c 0,19551 |d 20220913 |q DE-101 |u https://d-nb.info/provenance/plan#emakn | |
| 883 | 0 | |8 2\p |a emasg |c 1,00000 |d 20220913 |q DE-101 |u https://d-nb.info/provenance/plan#emasg | |
| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-033860809 | |
Datensatz im Suchindex
| DE-BY-TUM_katkey | 2690787 |
|---|---|
| _version_ | 1821936487172669441 |
| any_adam_object | |
| author | Wang, Xiao 1987- |
| author_GND | (DE-588)1267945494 |
| author_facet | Wang, Xiao 1987- |
| author_role | aut |
| author_sort | Wang, Xiao 1987- |
| author_variant | x w xw |
| building | Verbundindex |
| bvnumber | BV048483196 |
| collection | ebook |
| ctrlnum | (OCoLC)1346092321 (DE-599)BVBBV048483196 |
| doi_str_mv | 10.5282/edoc.30488 |
| format | Thesis Book |
| fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01625nam a2200385zc 4500</leader><controlfield tag="001">BV048483196</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="007">t|</controlfield><controlfield tag="008">220922s2022 gw m||| 00||| eng d</controlfield><datafield tag="015" ind1=" " ind2=" "><subfield code="a">22,O10</subfield><subfield code="2">dnb</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1346092321</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV048483196</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="044" ind1=" " ind2=" "><subfield code="a">gw</subfield><subfield code="c">XA-DE-BY</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-384</subfield><subfield code="a">DE-473</subfield><subfield code="a">DE-703</subfield><subfield code="a">DE-1051</subfield><subfield code="a">DE-824</subfield><subfield code="a">DE-29</subfield><subfield code="a">DE-12</subfield><subfield code="a">DE-91</subfield><subfield code="a">DE-19</subfield><subfield code="a">DE-1049</subfield><subfield code="a">DE-92</subfield><subfield code="a">DE-739</subfield><subfield code="a">DE-898</subfield><subfield code="a">DE-355</subfield><subfield code="a">DE-706</subfield><subfield code="a">DE-20</subfield><subfield code="a">DE-1102</subfield><subfield code="a">DE-860</subfield><subfield code="a">DE-2174</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="8">2\p</subfield><subfield code="a">610</subfield><subfield code="2">23sdnb</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="8">1\p</subfield><subfield code="a">616.4</subfield><subfield code="2">23ksdnb</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Wang, Xiao</subfield><subfield code="d">1987-</subfield><subfield code="e">Verfasser</subfield><subfield code="0">(DE-588)1267945494</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">The use of advanced statistical analysis and machine learning methods in Primary Aldosteronism studies</subfield><subfield code="c">Xiao Wang</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">München</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">53 Blätter</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">n</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">nc</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="502" ind1=" " ind2=" "><subfield code="b">Dissertation</subfield><subfield code="c">München, Ludwig-Maximilians-Universität</subfield><subfield code="d">2022</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4113937-9</subfield><subfield code="a">Hochschulschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="776" ind1="1" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Online-Ausgabe</subfield><subfield code="o">urn:nbn:de:bvb:19-304885</subfield><subfield code="o">10.5282/edoc.30488</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://doi.org/10.5282/edoc.30488</subfield><subfield code="x">Verlag</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">https://nbn-resolving.org/urn:nbn:de:bvb:19-304885</subfield><subfield code="x">Resolving-System</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ebook</subfield></datafield><datafield tag="883" ind1="0" ind2=" "><subfield code="8">1\p</subfield><subfield code="a">emakn</subfield><subfield code="c">0,19551</subfield><subfield code="d">20220913</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#emakn</subfield></datafield><datafield tag="883" ind1="0" ind2=" "><subfield code="8">2\p</subfield><subfield code="a">emasg</subfield><subfield code="c">1,00000</subfield><subfield code="d">20220913</subfield><subfield code="q">DE-101</subfield><subfield code="u">https://d-nb.info/provenance/plan#emasg</subfield></datafield><datafield tag="943" ind1="1" ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033860809</subfield></datafield></record></collection> |
| genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
| genre_facet | Hochschulschrift |
| id | DE-604.BV048483196 |
| illustrated | Not Illustrated |
| indexdate | 2024-12-20T19:46:16Z |
| institution | BVB |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033860809 |
| oclc_num | 1346092321 |
| open_access_boolean | 1 |
| owner | DE-384 DE-473 DE-BY-UBG DE-703 DE-1051 DE-824 DE-29 DE-12 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-1049 DE-92 DE-739 DE-898 DE-BY-UBR DE-355 DE-BY-UBR DE-706 DE-20 DE-1102 DE-860 DE-2174 |
| owner_facet | DE-384 DE-473 DE-BY-UBG DE-703 DE-1051 DE-824 DE-29 DE-12 DE-91 DE-BY-TUM DE-19 DE-BY-UBM DE-1049 DE-92 DE-739 DE-898 DE-BY-UBR DE-355 DE-BY-UBR DE-706 DE-20 DE-1102 DE-860 DE-2174 |
| physical | 53 Blätter |
| psigel | ebook |
| publishDate | 2022 |
| publishDateSearch | 2022 |
| publishDateSort | 2022 |
| record_format | marc |
| spellingShingle | Wang, Xiao 1987- The use of advanced statistical analysis and machine learning methods in Primary Aldosteronism studies |
| subject_GND | (DE-588)4113937-9 |
| title | The use of advanced statistical analysis and machine learning methods in Primary Aldosteronism studies |
| title_auth | The use of advanced statistical analysis and machine learning methods in Primary Aldosteronism studies |
| title_exact_search | The use of advanced statistical analysis and machine learning methods in Primary Aldosteronism studies |
| title_full | The use of advanced statistical analysis and machine learning methods in Primary Aldosteronism studies Xiao Wang |
| title_fullStr | The use of advanced statistical analysis and machine learning methods in Primary Aldosteronism studies Xiao Wang |
| title_full_unstemmed | The use of advanced statistical analysis and machine learning methods in Primary Aldosteronism studies Xiao Wang |
| title_short | The use of advanced statistical analysis and machine learning methods in Primary Aldosteronism studies |
| title_sort | the use of advanced statistical analysis and machine learning methods in primary aldosteronism studies |
| topic_facet | Hochschulschrift |
| url | https://doi.org/10.5282/edoc.30488 https://nbn-resolving.org/urn:nbn:de:bvb:19-304885 |
| work_keys_str_mv | AT wangxiao theuseofadvancedstatisticalanalysisandmachinelearningmethodsinprimaryaldosteronismstudies |